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Poster
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Tue 1:00
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What they do when in doubt: a study of inductive biases in seq2seq learners
Kharitonov Eugene · Rahma Chaabouni
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Poster
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Tue 1:00
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AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun · Zhanxing Zhu · Zhouchen Lin
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Workshop
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Fri 10:51
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"Bias and Generalization of Deep Generative Models" by Stefano Ermon, Stanford University
Stefano Ermon
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Poster
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Thu 9:00
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Improving VAEs' Robustness to Adversarial Attack
Matthew Willetts · Alexander Camuto · Tom Rainforth · S Roberts · Christopher Holmes
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Poster
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Thu 9:00
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Learning to Recombine and Resample Data For Compositional Generalization
Ekin Akyürek · Afra Feyza Akyürek · Jacob Andreas
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Poster
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Thu 17:00
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Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu
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Workshop
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Fri 6:00
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Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
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Workshop
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Fri 6:14
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Density Approximation in Deep Generative Models with Kernel Transfer Operators
Zhichun Huang
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Poster
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Thu 17:00
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Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
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Spotlight
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Thu 21:28
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Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
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Poster
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Tue 1:00
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Capturing Label Characteristics in VAEs
Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth
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Poster
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Wed 1:00
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Differentiable Segmentation of Sequences
Erik Scharwächter · Jonathan Lennartz · Emmanuel Müller
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